import datetime
import pymysql
import numpy as np
import pandas as pd
import pymysql.cursors
import requests
from sklearn.preprocessing import MinMaxScaler
from joblib import dump

class Tianqi(object):
    def __init__(self):
        self.date_list = [
            '2024-07-01',
            '2024-08-01',
            '2024-09-01',
            '2024-10-01',
            '2024-11-01',
            '2024-12-01',
        ]

        self.url = 'http://v1.yiketianqi.com/api'

    def get_data(self):
        """获取天气数据"""
        data_list = []
        for d in self.date_list:
            cont = {
                'appid': '51419188',  # 使用自己注册的appid   #是   string  用户appid  注册开发账号
                'appsecret': 's9oCQgw8',  # 是   string  用户appsecret
                'version': 'history',  # 是   string  接口版本标识  固定值：History 每个接口的version值都不一样
                'date': d[:7],  # 是   string  日期标识  如：2015-05
                'year': d[:4],  # 是   string  年份  如：2015
                'month': d[5:7],  # 是   string  月份  如：5
                # "cityid"  #否   string  城市ID  请参考 城市ID列表
                'city': '南昌'  # 否 string  城市名称  不要带市和区：如：青岛、扶西
            }
            # 发起请求获取数据
            res = requests.get(self.url + '?', params=cont)
            res_data = res.json()
            print(res_data)
            for i in res_data['data']:
                data_list.append({
                "date": datetime.datetime.strptime(i["ymd"], "%Y-%m-%d"),
                "bWendu": i["bWendu"],
                "yWendu": i["yWendu"],
                "tianqi": i["tianqi"],
                "fengli": i["fengli"],
                })
                
            
        df = pd.DataFrame(data_list)
        df.to_csv('./weather.csv')
            
            
class MysqlUtils(object):
    def __init__(self):
        self.conn = pymysql.connect(
            host='127.0.0.1',
            user='root',
            password='root',
            database='scenic',
            port=3306,
            charset='utf8'
        )
        self.weather_data = pd.read_csv("第七次实验/weather.csv")
    
    def is_holiday(self, date):
        """
        
        """
        
        # 修复缩进，使其成为类的独立方法
        if date in ['2024-01-01', '2024-10-02', '2024-10-03', '2024-10-04', '2024-10-05', '2024-10-06', '2024-10-07', '2025-01-01', '2024-01-02', '2024-01-03']:
            return 1
        # 修复缩进，确保在 if 条件不满足时返回 0
        return 0

    def get_data(self):
        cursor = self.conn.cursor(cursor=pymysql.cursors.DictCursor)
        sql = """
        SELECT DATE(g.create_time) AS date, COUNT(*) AS count FROM order_user_gate_rel g WHERE DATE(g.create_time) < '2025-01-01' GROUP BY date
        """
        cursor.execute(sql)
        ret = cursor.fetchall()
        df = pd.DataFrame(ret)
        
        # 合并天气数据
        self.weather_data['date'] = pd.to_datetime(self.weather_data['date'])
        df['date'] = pd.to_datetime(df['date'])
        df_pivot = pd.merge(self.weather_data,df, on='date')
        print(df_pivot.head)
        df_pivot.set_index('date', inplace=True)
        
        
        df_pivot['dow'] = df_pivot.index.dayofweek #星期几（0-6）
        df_pivot['month'] = df_pivot.index.month #月份
        df_pivot['is_holiday'] = df_pivot.index.map(self.is_holiday)
        
        #对星期几和月份进行独热编码
        df_pivot = pd.get_dummies(df_pivot,columns=['dow', 'month', 'tianqi', 'fengli'],dtype=int)
        #对温度进行类型转换
        df_pivot['bWendu'] = df_pivot['bWendu'].str.replace('°', '').astype(int)
        df_pivot['yWendu'] = df_pivot['yWendu'].str.replace('°', '').astype(int)
        
        #归一化入园数
        scaler = MinMaxScaler()
        features = df_pivot[['count']]
        df_pivot['count'] = scaler.fit_transform(features)
        dump(scaler,'第七次实验/scaler.joblib')
        #归一化天气
        weather_features = df_pivot[['bWendu', 'yWendu']]
        df_pivot[['bWendu', 'yWendu']] = scaler.fit_transform(weather_features)        
        dump(scaler,'第七次实验/scaler1.joblib')
        print(df_pivot.head)
        
        # 保存数据文件
        df_pivot.to_csv('第七次实验/scenic_data.csv',index=False)
if __name__ == '__main__':
    mu = MysqlUtils()
    mu.get_data()
    # mu = Tianqi()
    # mu.get_data()